(alphabetical order)

1. Algorithm
   A set of rules or instructions followed by AI systems to perform tasks such as pattern recognition, decision-making, or problem-solving
2. Artificial Intelligence (AI)
   The science of making machines perform tasks that require human-like intelligence—such as understanding language, recognizing images, or making decisions.
3. AI Chatbot
   Software that uses artificial intelligence to simulate human conversation. It interacts with users via text or voice, using natural language processing (NLP) to understand and respond to queries, often for customer service or support.
4. Blockchain
   A specialized type of machine learning using layered neural networks to process complex data like images, audio, and text.
5. Deep Learning
   A specialized type of machine learning using layered neural networks to process complex data like images, audio, and text.
6. Generative AI
   AI that creates new content—like text, images, music, or code—based on patterns learned from existing data.
7. GPT (Generative Pre-trained Transformer)
   GPT is an AI model that understands and generates human-like text based on what you type. It’s trained on large amounts of text from the internet so it can answer questions, write content, and have conversations—just like a person.
8. Machine Learning (ML)
   A subset of AI where machines learn patterns from data and improve their performance without being explicitly programmed.
9. Natural Language Processing (NLP)
   A field of AI that focuses on helping computers understand, interpret, and generate human language (like English, Spanish, etc.).
10. Neural Network
    A model inspired by the structure of the human brain, made up of layers of connected nodes (“neurons”) that process information.
11. OpenAI
    U.S.-based company that creates advanced artificial intelligence tools, including the GPT models used in ChatGPT.
12. Predictive Analytics
    Using AI and data to make predictions about future outcomes based on historical data. It’s often applied in sectors like retail, healthcare, and finance.
13. Prompt
    A piece of text given to a language model to guide its response.
    Example: “Write a poem about the ocean.”
14. Reinforcement Learning (RL)
    A learning method where an agent learns by interacting with an environment, receiving rewards or penalties based on its actions.
15. Supervised Learning
    A machine learning method where the model is trained on labeled data (data that includes the correct answers).
16. Unsupervised Learning
    A method where the model looks for patterns in data without any labeled answers—useful for clustering and data exploration.